FPESFour Peaks Elementary School (Arizona)
FPESFlight Planning and Evaluation Software (Leica Geosystems)
FPESFondation pour l'Encouragement Scolaire (French: Scholastic Encouragement Foundation; Canada)
FPESFunctional Pre-Employment Services (Australia)
FPESForest Park Elementary School (North Kingstown, Rhode Island)
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References in periodicals archive ?
Using these models, the protective effect, functions, and mechanism of FPEs in estrogen-induced mammary gland hyperplasia were investigated.
To determine the optimal lag length for the variables [([X.sub.t] - [X.sub.t-1]).sub.t-i] and [([Y.sub.t] - [Y.sub.t-1]).sub.t-j] the Final Prediction Error (FPE) criterion (Akaike, 1974) was used which minimizes the following:
Enterprise Ownership Number Percentage % Wholly State-Owned Enterprise (SOE) 5 12 Partly Affiliated to SOE 7 16 Enterprises (ASE) Collectively Owned Enterprises (COE) 4 10 Joint Venture with Foreign Firms 7 17 Enterprises (JVE) Domestically Private Owned 12 29 Enterprises (DPE) Foreign Private Owned 4 9 Enterprises (FPE) Town & Village Enterprises (TVE) 3 7 Total 42 100 Table 6a: HRM Practice in Selected small enterprises in Kerman.
Chris Jelenewicz, engineering program manager for the Bethesda, MD-based Society of Fire Protection Engineers (www.sfpe.org), offers proactive, forward-thinking facilities professionals some recommendations on questions to ask a fire protection engineer (FPE):
Today's FPEs understand that evaluating the level of safety within a building is not limited to verifying the compliance with the building code or relying solely on techniques and solutions found in possibly outdated codes.
Before we calculate the FPEs of DX and DY, we use the Zivot-Andrews [29] unit root test to examine for the presence of unit roots in X and Y.
The FPEs of equations (1) - (4) are as follows: 0.1081, 0.1051, 0.6274, and 0.6538.
We use Hsiao's method that combines Granger causality and Akaike's Final Prediction Error (FPE).
A frequently applied approach is Akaike's (1974) final prediction error (FPE) criterion as suggested by Hsiao (1981).
The variables were first transformed to achieve stationarity, and the optimal lag for each of the dependent variables was determined using the Final Prediction Error (FPE) criterion.(11) The maximum lag length was set at four years.